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DBMS > GridGain vs. TerminusDB vs. Vitess

System Properties Comparison GridGain vs. TerminusDB vs. Vitess

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value store
Relational DBMS
Graph DBMSRelational DBMS
Secondary database modelsDocument store
RDF store
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.gridgain.comterminusdb.comvitess.io
Technical documentationwww.gridgain.com/­docs/­index.htmlterminusdb.github.io/­terminusdb/­#vitess.io/­docs
DeveloperGridGain Systems, Inc.DataChemist Ltd.The Linux Foundation, PlanetScale
Initial release200720182013
Current releaseGridGain 8.5.111.0.0, January 202315.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetProlog, RustGo
Server operating systemsLinux
OS X
Solaris
Windows
LinuxDocker
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesno
Secondary indexesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language (WOQL)yes infowith proprietary extensions
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
JavaScript
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesyes infoproprietary syntax
Triggersyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesShardingGraph PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Journaling StreamsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsRole-based access controlUsers with fine-grained authorization concept infono user groups or roles

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More resources
GridGainTerminusDB infoformer name was DataChemistVitess
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